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Prefect ops

Skill bgevorkian/agent-skills/skills/prefect-ops

Reusable open-source Agent Skills for Pi and compatible agent systems

Install
npx -y skills add bgevorkian/agent-skills --skill prefect-ops

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What its author says it does

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Inspect and manage a Prefect 3 API from a safe JSON CLI. Use when the user explicitly asks to read Prefect runs, deployments, logs, variables, automations, work pools, or to perform a confirmed operational change such as running a deployment or cancelling a flow run.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

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Prefect Ops

Generic Prefect 3 REST skill. The helper uses only the Python standard library, prints UTF-8 JSON to stdout, avoids echoing secrets, and keeps reads and writes clearly separated.

Configuration

Provide the API endpoint through an environment variable or flag:

VariableFlagRequiredNotes
PREFECT_API_URL--api-urlyesPrefect API base URL, for example https://prefect.example/api
PREFECT_API_KEYnonenoOptional bearer token; environment-only to avoid shell history/process-list exposure
PREFECT_ALLOW_WRITEnonefor writes onlyMust be exactly true to enable mutations

Writes require both:

  1. PREFECT_ALLOW_WRITE=true
  2. --confirm-write

Reads never require either gate.

Secret setup

Before configuring credentials, ask which secret manager and local profile the user wants. Follow Secure secret profiles. Do not invent or publish profile names, hosts, templates, or secret references. If the user asks for the author's method, use a per-profile Proton Pass pointer file with process-scoped pass-cli run. Never request or display resolved values.

Run

From this skill directory:

uv run --python 3.13 python scripts/pf.py --api-url https://prefect.example/api server-version
uv run --python 3.13 python scripts/pf.py flow-runs --limit 20
uv run --python 3.13 python scripts/pf.py deployments --limit 50
uv run --python 3.13 python scripts/pf.py deployment --deployment my-flow/my-deployment
uv run --python 3.13 python scripts/pf.py logs --flow-run 00000000-0000-0000-0000-000000000000 --limit 100
uv run --python 3.13 python scripts/pf.py scheduled-runs --deployment my-deployment --limit 10
uv run --python 3.13 python scripts/pf.py variables --limit 100

Write examples:

PREFECT_ALLOW_WRITE=true uv run --python 3.13 python scripts/pf.py run --deployment my-flow/my-deployment --param retries=2 --confirm-write
PREFECT_ALLOW_WRITE=true uv run --python 3.13 python scripts/pf.py cancel --id 00000000-0000-0000-0000-000000000000 --confirm-write
PREFECT_ALLOW_WRITE=true uv run --python 3.13 python scripts/pf.py pause --deployment my-flow/my-deployment --confirm-write
PREFECT_ALLOW_WRITE=true uv run --python 3.13 python scripts/pf.py variable-set --name feature_flag --value true --confirm-write

--deployment accepts:

  • a deployment UUID
  • flow_name/deployment_name
  • a bare deployment name, if it resolves to exactly one deployment

Read commands

  • flow-runs
  • flow-run
  • task-runs
  • logs
  • deployments
  • deployment
  • schedules
  • scheduled-runs
  • variables
  • variable
  • automations
  • automation
  • work-pools
  • server-version

Write commands

  • run
  • cancel
  • retry
  • delete
  • pause
  • resume
  • set-state
  • variable-set
  • variable-delete

Safety contract

  • API keys are never printed.
  • Every write is double-gated by environment and CLI confirmation.
  • Response sizes, timeouts, and list limits are bounded.
  • HTTP failures return concise JSON errors on stderr.
  • Deployment lookup is generic and contains no bundled names or infrastructure assumptions.
  • Prefer a server-side read-only or least-privilege token when possible.

Tests

From the repository root:

uv run --python 3.13 python skills/prefect-ops/tests/test_pf.py
uv run --python 3.13 scripts/validate_skills.py

Keep looking

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